GE Aerospace Data Science Intern 2026 | GenAI, Python & ML
GE Aerospace is hiring a Data Science Intern for its Aviation Digital Technology business segment. This internship is designed for students pursuing B.Tech or M.Tech programs who want practical exposure to Data Science, Artificial Intelligence, Generative AI, machine learning, Python, statistics, deep learning, and cloud technologies. Eligible candidates include B.Tech 3rd- or 4th-year students and M.Tech 1st- or 2nd-year students from CS/IT streams, with Data Science or AI specialization preferred.
The internship provides an opportunity to work with the Data Science & AI team on exploratory projects and digital solutions across GE Aerospace. Under the guidance of senior team members and an identified mentor, interns can contribute to research, development, testing, integration, documentation, and presentation of technical results. The role offers valuable exposure to modern AI and data technologies in an aviation-focused engineering environment; however, GE Aerospace explicitly states that the internship does not guarantee a full-time job offer.
Quick Job Snapshot
| Company | GE Aerospace |
|---|---|
| Role | Data Science Intern |
| Qualification | B.Tech 3rd/4th Year or M.Tech 1st/2nd Year |
| Eligible Stream | CS/IT; Data Science or AI Specialization preferred |
| Experience | Student / Internship |
| Eligible Batch | Current eligible students; specific graduation year not stated |
| Eligibility Criteria | 7 CGPA / 70% and above with no active backlogs |
| Salary / Stipend | Not disclosed |
| Job Type | Co-op / Intern |
| Work Mode | Not specifically disclosed |
| Location | Bengaluru, Karnataka, India |
| Business Segment | Aviation Digital Technology |
| Category | Sales |
| Job ID | R5040035 |
| Posted Date | September 16, 2026 |
| Relocation Assistance | Yes |
About GE Aerospace
GE Aerospace is a world-leading provider of jet engines, components, and integrated systems for commercial and military aircraft. The company focuses on developing technologies that support the future of flight while emphasizing respect, collaboration, innovation, and continuous improvement.
GE Aerospace’s John F. Welch Technology Center (JFWTC) in Bengaluru was established in 2000 and serves as a multidisciplinary research and engineering center. Engineers and scientists at JFWTC have contributed to hundreds of aviation patents and worked on breakthroughs involving engine technologies, advanced materials, and additive manufacturing.
Data Science Intern Role Overview
The Data Science Intern will work as part of a team researching, developing, and implementing Artificial Intelligence and Generative AI-based solutions across various disciplines within GE Aerospace. Under the guidance of senior team members, the intern will contribute to modern machine learning, generative AI, artificial intelligence, statistical and probabilistic methods, operations research, semantic analysis, and large language model applications.
The work is focused on finding structure and generating insights from datasets within the Customer Experience and Commercial Sales functions. Interns will work closely with an identified mentor on allocated projects and participate in analyzing, designing, testing, integrating, documenting, and communicating technical work.
Essential Responsibilities
- Be part of a development team working on Data Science technologies.
- Work with Generative AI, Python, cloud platforms, and statistics.
- Apply machine learning and deep learning concepts to assigned work.
- Work closely with an identified mentor on allocated projects.
- Analyze components related to assigned projects.
- Design components that meet business standards and program/product requirements.
- Test project components.
- Integrate components into project solutions.
- Document technical data generated by the assigned project.
- Follow organizational policies and procedures when documenting technical data.
- Prepare technical data and documentation.
- Present technical data and communicate the results generated from the assigned work.
- Contribute to exploratory Data Science projects.
- Contribute to digital solutions based on identified business and technical problems.
Required Skills / Eligibility
- Currently pursuing B.Tech in 3rd or 4th year from a reputed institute.
- Currently pursuing M.Tech in 1st or 2nd year from a reputed institute.
- Candidate should be from the CS/IT stream.
- Data Science or AI specialization is preferred.
- Minimum 7 CGPA or 70 percentage and above.
- No active backlogs.
- NOC from college authorities must be submitted before offer issuance.
- Strong Python programming skills.
- Strong machine learning knowledge.
- Interest in Data Science and Artificial Intelligence.
- Good written and verbal communication skills.
- Ability to work collaboratively with mentors and team members.
Desired Characteristics
- Technology enthusiast who stays updated with current industry standards.
- Awareness of trending software and information technology development tools.
- Strong Python programming and machine learning skills.
- Good written and verbal communication.
- Humble, respectful, receptive, agile, and eager to learn.
- Transparent and willing to share critical information.
- Ability to speak with candor and contribute constructively.
- Focused and quick to learn.
- Ability to strategically prioritize work.
- Commitment to assigned responsibilities.
- Leadership ability and strong communication.
- Decision-making and collaborative skills.
- Analytical problem-solving mindset.
- Ability to challenge existing processes constructively.
- Critical-thinking skills.
Technical Areas Covered
The role exposes interns to a broad Data Science and AI technology stack. The supplied description specifically mentions GenAI, Python, cloud platforms, statistics, machine learning, and deep learning. The broader role also covers artificial intelligence, statistical and probabilistic methods, operations research, semantic analysis, and large language model applications.
This combination can give students exposure to both conventional machine learning workflows and emerging AI technologies. Interns may also learn how technical models and data-driven solutions are connected to real business problems in Customer Experience and Commercial Sales functions.
Salary Insights
GE Aerospace has not disclosed the stipend or compensation amount for this Data Science Intern position in the supplied job description. Therefore, there is no official salary figure to report. Internship compensation can vary based on the company’s internship structure, candidate profile, and applicable policies. Candidates should confirm the actual stipend and benefits during the recruitment process rather than relying on third-party estimates.
Why This Internship Is Good for Candidates
This internship can help students develop practical skills across Python, machine learning, deep learning, Generative AI, statistics, cloud platforms, data analysis, technical documentation, and project communication. Working with mentors on exploratory projects can also provide experience that is transferable to future Data Scientist, Machine Learning Engineer, AI Engineer, Data Analyst, Generative AI Engineer, or Applied AI roles.
Recommended Skills & Learning Resources
Python and Data Science fundamentals should be the main preparation priorities for this internship. Candidates can strengthen their technical foundation using these relevant resources:
- Python Course and Notes – useful for strengthening Python programming and problem-solving fundamentals.
- Data Science Complete Course – relevant for building foundations in data analysis, machine learning, and Data Science workflows.
Interview Preparation
Candidates should prepare Python programming, statistics, probability, machine learning fundamentals, data preprocessing, model evaluation, basic deep learning, Generative AI concepts, and problem-solving. Be prepared to discuss academic projects, datasets used, model-selection decisions, evaluation metrics, and how you communicated technical findings. The Top Data Scientist Interview Questions for Freshers resource is particularly relevant for this internship.
Related Jobs
How to Apply for GE Aerospace
- Click the Apply Now – GE Aerospace button below.
- Open the GE Aerospace Careers page for Job ID R5040035.
- Review the complete internship description and eligibility requirements.
- Confirm that you are a B.Tech 3rd/4th-year or M.Tech 1st/2nd-year student from the CS/IT stream.
- Ensure that you meet the minimum 7 CGPA/70% requirement and have no active backlogs.
- Prepare an updated resume highlighting Python, machine learning, Data Science, AI/GenAI projects, coursework, certifications, and technical achievements.
- Keep the required college NOC ready, as it must be submitted before offer issuance.
- Complete the application form with accurate academic and personal information.
- Submit the application and follow GE Aerospace’s subsequent recruitment instructions.
Frequently Asked Questions
1. Who is eligible for the GE Aerospace Data Science Internship?
The internship is open to B.Tech 3rd- or 4th-year and M.Tech 1st- or 2nd-year students from the CS/IT stream, with Data Science or AI specialization preferred. Candidates must have at least 7 CGPA/70% and above with no active backlogs. A college NOC must be submitted before offer issuance.
2. What is the salary or stipend for the GE Aerospace Data Science Intern?
The supplied GE Aerospace job description does not disclose the internship stipend or salary amount. Candidates should confirm the applicable compensation and benefits directly during the hiring process.
3. Where is the GE Aerospace Data Science Intern role located?
The position is located in Bengaluru, Karnataka, India, at GE Aerospace’s John F. Welch Technology Center. The supplied listing does not explicitly specify a remote or hybrid arrangement for this particular internship. Relocation assistance is listed as available.
Final Takeaway
The GE Aerospace Data Science Intern opportunity is designed for students who want practical exposure to modern Data Science and AI technologies within a major aviation engineering organization. Python, machine learning, deep learning, GenAI, cloud platforms, statistics, probabilistic methods, semantic analysis, and LLM applications are among the technical areas highlighted in the role.
Students who meet the academic eligibility criteria should prepare strong Python and machine learning fundamentals, build meaningful Data Science or AI projects, and be ready to explain their technical work clearly. The internship can provide valuable industry exposure, but candidates should note that GE Aerospace explicitly states that the internship does not guarantee a full-time job offer.